Automated microaneurysms detection and classification using multilevel thresholding and multilayer perceptron

• Main Authors: Mazlan, Noratikah, Yazid, Haniza, Arof, Hamzah, Mohd Isa, Hazlita
• Format: Article
• Published: Springer Verlag (Germany) 2020
• Subjects: TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/36868/

The purpose of this paper is to propose an automatic detection of microaneurysms (MAs) in the fundus retina images. In this work, E-optha database of 100 images were utilised to test the performance of the proposed method. The approach covers pre-processing, segmentation, post-processing, feature ex...